Associate Architect - Data Engineer

While technology is the heart of our business, a global and diverse culture is the heart of our success. We love our people and we take pride in catering them to a culture built on transparency, diversity, integrity, learning and growth. If working in an environment that encourages you to innovate and excel, not just in professional but personal life, interests you- you would enjoy your career with Quantiphi! About Quantiphi: Quantiphi is an award-winning, AI-First digital engineering and consulting company focused on delivering high-impact Services and Solutions that help organizations solve what truly matters. We partner with enterprises to reimagine their businesses through intelligent, scalable, and transformative AI driving measurable outcomes at the very core of their operations. Since our founding in 2013, Quantiphi has tackled some of the world’s most complex business challenges by combining deep industry expertise, disciplined cloud and data engineering practices, and cutting-edge applied AI research. Our work is rooted in delivering accelerated, quantifiable business value, not just technology for technology’s sake. Headquartered in Boston, Quantiphi is a global organization with 4,000+ professionals serving clients across key industry verticals, including BFSI, Healthcare & Life Sciences, CPG, MFG, TME etc. As an Elite and Premier partner to leading cloud and AI platforms such as NVIDIA, Google Cloud, AWS, and Snowflake, we build and deliver enterprise-grade AI services and solutions that create real-world impact. We’ve been recognized with: 17x Google Cloud Partner of the Year awards in the last 8 years. 3x AWS AI/ML award wins. 3x NVIDIA Partner of the Year titles. 2x Snowflake Partner of the Year awards. We have also garnered top analyst recognitions from Gartner, ISG, and Everest Group. We offer first-in-class industry solutions across Healthcare, Financial Services, Consumer Goods, Manufacturing, and more, powered by cutting-edge Generative AI and Agentic AI accelerators. We have been certified as a Great Place to Work for the third year in a row- 2021, 2022, 2023. Be part of a trailblazing team that’s shaping the future of AI, ML, and cloud innovation. Your next big opportunity starts here! For more details, visit: Website or LinkedIn Page . Role: Associate Architect Data Engineer Experience Level: 7 + yrs Work Location: US/Canada [ET & CT] Role Overview: We are seeking an Associate Architect Data Engineer to spearhead the structural development of an innovative data layer tailored for Agentic AI . In this high-impact position, you will orchestrate hybrid-database environments across Snowflake and Kinetica while acting as the cornerstone for client technical strategy and governance. Key Responsibilities: System Architecture: Design the end-to-end blueprint for a modern enterprise data architecture encompassing all layers such as Ingestion Management, Lakehouse storage, Transformation & Orchestration, Semantic & Context, Serving & Consumption, Governance, and seamlessly integrating structured, unstructured, and graph data for consumption by AI agents. Schema & Ontology Design: Define multi-tenant schemas and Knowledge Graph ontologies that allow LLM agents to perform complex reasoning and cross-domain data retrieval. Database Administration, Scalability & Governance: Oversee the health, security, and performance optimization of our data clusters (BigQuery/Snowflake/Kinetica), ensuring 99.9% availability for mission-critical AI workflows. Strategic Client Fronting: Act as the "Face of Engineering" for the customer. Lead discovery workshops, manage technical expectations, and align the architectural roadmap with their business objectives. Performance Engineering: Establish benchmarks for data latency and retrieval accuracy, ensuring the data layer can keep pace with the real-time demands of agentic execution. Basic Qualifications: The Hybrid Stack: Proven expertise in architecting for cloud lakehouses (BigQuery / Cosmos / Snowflake / Kinetica Expertise with building Vector DBs (Milvus / Qdrant / Cosmos / Azure AI Search). Knowledge Graph Mastery: Ability to design Property Graphs or RDF schemas that map enterprise entities to serve complex clinical traversal queries Advanced ETL/ELT Strategy: Deep knowledge of data orchestration patterns (Change Data Capture, Streaming, and Batch) to ensure data freshness. Database Internals: Strong DBA skills—partitioning strategies, indexing, sharding, vacuuming, and resource scaling in cloud-native environments. Agentic Data Experience: Hands-on experience with vector stores, knowledge graphs, and semantic layer design to enable intelligent agent workflows. Other Qualifications (OQs): Semantic Layer Design: Experience with tools like Cube or dbt Semantic Layer to provide a consistent "Language" for AI agents to query. Security & Privacy: Knowledge of RBAC and Row-Level Security (RLS) within an AI context—ensuring agents only "see" what they are authorized to access. Tooling for Agents: Experience designing API-first data layers that agents can use as "Tools" (e.g., function calling). What’s in it for YOU at Quantiphi: Make an impact at one of the world’s fastest-growing AI-first digital engineering companies. Upskill and discover your potential as you solve complex challenges in cutting-edge areas of technology alongside passionate, talented colleagues. Work where innovation happens - work with disruptive innovators in a research-focused organization with 60+ patents filed across various disciplines. Stay ahead of the curve, immerse yourself in breakthrough AI, ML, data, and cloud technologies and gain exposure working with Fortune 500 companies. If you like wild growth and working with happy, enthusiastic over-achievers, you'll enjoy your career with us !